show_version
Show the current MCP platform and adapter versions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Show the current MCP platform and adapter versions.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds no additional behavioral context beyond restating what the tool shows, which is acceptable for a trivial read-only tool but contributes nothing extra.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that fully conveys the tool's purpose without any wasted words. It is front-loaded and appropriately sized for a tool this simple.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (no parameters, clear annotations, no output schema needed), the description is complete. It fully explains what the tool shows, and the sibling list shows no overlapping functionality.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so per the rubric the baseline is 4. The description adds semantic value by specifying what the tool returns (platform and adapter versions), which complements the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function with a specific verb 'Show' and a clear resource: 'current MCP platform and adapter versions'. It is easily distinguished from sibling tools like authenticate or connect, which serve entirely different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies its usage—run to see version info—but provides no explicit guidance on when to use it versus alternatives. While no alternatives exist among the sibling tools, the lack of explicit 'when to use' language lowers the score.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct purposes: authenticate handles login, beneficios_sociais_consultar queries benefits, others handle platform status and actions. However, 'marketplace' is a multi-purpose tool that combines search, describe, invoke, install, etc., which could be confusing for an agent deciding which action to use.
Tool names show mixed conventions: simple verbs (authenticate, connect, report_bug, show_version), a noun (marketplace), a noun phrase (toolkit_info), and a Portuguese snake_case phrase (beneficios_sociais_consultar). No consistent verb_noun or camelCase pattern is followed.
7 tools is within a typical count, but only one tool (beneficios_sociais_consultar) is domain-specific. The other six are generic platform utilities (marketplace, connect, report_bug, etc.) that do not belong in a server dedicated to social benefits, making the set feel bloated and off-purpose.
The core query tool covers the main need of consulting consolidated social benefits for a CPF, which might be sufficient for a read-only public information service. However, the server lacks any supplementary benefit-related operations (e.g., historical queries, filters) and the platform tools do not contribute to domain coverage, leaving the overall surface thin.